Agreed it was well written, but kinda pointless though since they could have “solved” the problem using the existing tools in a couple lines of code without any new deps. All that content annd profiling and they missed the fact that they were using numpy wrong.
Totally out of curiosity, could you be a bit more concrete in your posted example? I can't get it to work (I'm inexperienced with numpy and I'm messing something when translating your quick example to python)
At my last company, when we were building a greenfield application, we leveraged this pattern, at a time when GraphQL was not yet available. In my new company, I look at GraphQL and realize that this solves the BFF pattern in a standardized way
Nimbus is more like GitPod/Codespaces and not intrinsically linked to Kubernetes like DevSpace is. DevSpace is optimized for cloud native development and you could run it on top of Nimbus to connect your dev environment to a k8s cluster.
I sincerely didn't expect that from all the negative comments. At some point HN/reddit started confusing healthy skepticism and alternative views with being an... downright negative and rude.
I went through the exact same thing with Google. The interview was very impersonal, never going into if I'd be a great culture fit and it was simply on the basis of if I knew how to do this algorithms problem that doesn't show if I'm a good engineer or not. Ended up in a much better company culturally, and I've never looked back
I used to be a big supporter and user of Sublime, using it for my day to day. Unfortunately, even though it still has faster boot time than VSC, the community around VSC is so much richer that it becomes a case of too little too late.